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On the Use of Control Variables in PLS-SEM = Sull’Uso delle Variabili di Controllo nei PLS-SEM

Authors: F. De Battisti; E. Siletti;

On the Use of Control Variables in PLS-SEM = Sull’Uso delle Variabili di Controllo nei PLS-SEM

Abstract

Recentemente diversi autori hanno dedicato attenzione al problema delle variabili di controllo. Nonostante le molte raccomandazioni suggerite per gestire queste variabili in modo più efficiente, le buone pratiche sono ancora ampiamente ́ ignorate, in particolare questo argomento non e stato ancora approfondito nei modelli ad equazioni strutturali. Questo lavoro propone alcune linee guida a chi deve utilizzare le variabili di controllo nei modelli ad equazioni strutturali con stima dei minimi quadrati parziali.

Several authors have recently devoted more attention to the control variables methodological issue. Despite many recommendations to handle these variables more efficiently, good practices are still widely disregarded, and especially this topic has not yet been studied in depth for structural equation models. This paper suggests best research practices for researchers who deal with the use of control variables in partial least squares structural equation models.

Country
Italy
Keywords

Control variables; Structural equation models; Partial least squares

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green